Triple
T18506393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WBEZ Chicago |
E452207
|
entity |
| Predicate | airtimeIncludes |
P64738
|
FINISHED |
| Object | Marketplace |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Marketplace | Statement: [WBEZ Chicago, airtimeIncludes, Marketplace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marketplace Context triple: [WBEZ Chicago, airtimeIncludes, Marketplace]
-
A.
Marketplace
Marketplace is a section of the Bitcointalk.org forum where users buy, sell, and trade goods, services, and cryptocurrencies.
-
B.
Marketplace
"Marketplace" is a track from Snow Patrol's debut studio album "Songs for Polarbears."
-
C.
Marketplace
chosen
Marketplace is a long-running public radio program and podcast focused on in-depth coverage and analysis of business, economic, and financial news.
-
D.
The Marketplace
The Marketplace is a central commercial area where vendors and shoppers gather for buying and selling goods and services.
-
E.
The Marketplace
The Marketplace is a casual dining venue located inside Rivers Casino Des Plaines, offering a variety of quick-service food options to casino guests.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5334266708190b59aca3a2218c095 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.